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Record W4381997149 · doi:10.1097/jp9.0000000000000133

Pancreatic adenocarcinoma and aging: understanding the menace for better management

2023· article· en· W4381997149 on OpenAlexaff
Tianxing Zhou, Jingrui Yan, Jihui Hao, Jun Yu

Bibliographic record

VenueJournal of Pancreatology · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsPancreatic ductal adenocarcinomaMedicinePancreatic cancerPathologicalAdenocarcinomaPopulation ageingIncidence (geometry)Mechanism (biology)PopulationCancerAgeingOncologyInternal medicineBioinformaticsBiology

Abstract

fetched live from OpenAlex

Pancreatic ductal adenocarcinoma (PDAC) is the leading cause of cancer-related death worldwide. As PDAC is more common in older adults and the population is aging, the incidence of pancreatic adenocarcinoma is expected to increase in the coming years. As a result, the mechanism and clinical management of PDAC in the elderly population is receiving more attention. This review will discuss age-related morphological and pathological changes, clinical management, surgery and adjuvant therapies, and molecular changes in elderly PDAC patients. More research is needed to clarify molecular mechanisms and develop new prevention and treatment strategies for PDAC in elderly patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.364
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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